Simulation and measurements integration for the evaluation of wireless communication networks

Performance evaluation via simulation requires to create models that are often difficult and are not able to faithfully reflect the operating conditions. This paper discusses an approach based on the integration of trace files into an OMNeT + + model. This approach allows to represent and evaluate complex systems by simple models. Moreover, in the case a simulation model of the communication system is not available, a trace file can efficiently substitute it. The results obtained with reference to a specific case study confirm the validity of the proposed approach and the advantages it offers over using just simulators.

[1]  Marinho P. Barcellos,et al.  Bridging the gap between simulation and experimental evaluation in computer networks , 2006, 39th Annual Simulation Symposium (ANSS'06).

[2]  Lucia Lo Bello,et al.  A wireless traffic smoother for soft real-time communications over IEEE 802.11 industrial networks , 2006, 2006 IEEE Conference on Emerging Technologies and Factory Automation.

[3]  Manish Jain,et al.  Effects of Interrupt Coalescence on Network Measurements , 2004, PAM.

[4]  Li Jiandong,et al.  Wireless Dynamic Token Protocol for MANET , 2007, 2007 International Conference on Parallel Processing Workshops (ICPPW 2007).

[5]  Ratul Mahajan,et al.  Measurement-based models of delivery and interference in static wireless networks , 2006, SIGCOMM 2006.

[6]  Pingzhi Fan,et al.  Dynamic Priority Scheduling Mechanism through Adaptive InterFrame Space , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[7]  Andreas Willig,et al.  Measurements of a wireless link in an industrial environment using an IEEE 802.11-compliant physical layer , 2002, IEEE Trans. Ind. Electron..